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Digital surgery for gastroenterological diseases

World Journal of Gastroenterology 2021年第42期27卷 7240-7246页

作者： niall philip hardy Ronan Ambrose Cahill UCD Centre for Precision Surgery University College DublinDublin D07 Y9AWIreland

Advances in machine learning,computer vision and artificial intelligence methods,in combination with those in processing and cloud computing capability,portend the advent of true decision support during interventions in real-time and soon perhaps in automated surgical *** capability,deployed alongside technology intraoperatively,is termed digital surgery and can be delivered without the need for high-end capital robotic *** area close to clinical usefulness right now harnesses advances in near infrared endolaparoscopy and fluorescence guidance for tissue characterisation through the use of biophysics-inspired *** represents a potential synergistic methodology for the deep learning methods currently advancing in ophthalmology,radiology,and recently gastroenterology via *** databanks of more general surgical videos are created,greater analytic insights can be derived across the operative spectrum of gastroenterological disease and operations(including instrumentation and operative step sequencing and recognition,followed over time by surgeon and instrument performance assessment)and linked to value-based ***,issues of legality,ethics and even morality need consideration,as do the limiting effects of monopolies,cartels and isolated data ***,the role of the surgeon,surgical societies and healthcare institutions in this evolving field needs active deliberation,as the default risks relegation to bystander or passive *** editorial provides insight into this accelerating field by illuminating the nearfuture and next decade evolutionary steps towards widespread clinical integration for patient and societal benefit.

关键词： Digital surgery Artificial intelligence Gastrointestinal disease Biophysics Deep learning Fluorescence-guided surgery

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Biophysics inspired artificial intelligence for colorectal cancer characterization

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Artificial Intelligence in Gastroenterology 2021年第3期2卷 77-84页

作者： niall P hardy Jeffrey Dalli Pól Mac Aonghusa Peter M Neary Ronan A Cahill UCD Centre for Precision Surgery Dublin 7 D07 Y9AWIreland IBM Research IBM Research IrelandDublin 15 D15 HN66Ireland Department of Surgery University Hospital WaterfordUniversity College CorkWaterford X91 ER8EIreland Department of Surgery Mater Misericordiae University Hospital(MMUH)Dublin 7Ireland

Over the last ten years artificial intelligence(AI)methods have begun to pervade even the most common everyday tasks such as email filtering and mobile *** the necessary quality and safety standards may have understandably slowed the introduction of AI to healthcare when compared with other industries,we are now beginning to see AI methods becoming more available to the clinician in select *** this paper we discuss current AI methods as they pertain to gastrointestinal procedures including both gastroenterology and gastrointestinal *** current state of the art for polyp detection in gastroenterology is explored with a particular focus on deep leaning,its strengths,as well as some of the factors that may limit its application to the field of *** use of biophysics(utilizing physics to study and explain biological phenomena)in combination with more traditional machine learning is also discussed and proposed as an alternative approach that may solve some of the challenges associated with deep *** and present uses of biophysics inspired AI methods,such as the use of fluorescence guided surgery to aid in the characterization of colorectal lesions,are used to illustrate the role biophysicsinspired AI can play in the exciting future of the gastrointestinal proceduralist.

关键词： Gastroenterology Artificial intelligence Gastrointestinal surgery Deep learning Biophysics Machine learning

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检测婴儿纸尿裤吸收芯层的新方法

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生活用纸 2010年第2期10卷 40-45页

作者： philip hardy 陈海昌(编译) 章杰(审校)

在过去的20年里，纸尿裤芯层开发的总趋势是使产品朝着更窄、更薄和更轻的方向发展。纸尿裤在外观和手感上越来越接近于它所取代的纺织品内裤。

关键词：婴儿纸尿裤芯层吸收检测纺织品内裤手感

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